In the age of the data revolution, creating compelling visualizations is no longer a luxury but has now become a necessity. With the large amounts of data generated daily, effective data visualization helps visualize patterns and relationships, easily share...

The recent success of instruction fine-tuning of pre-trained Large Language Models (LLMs) for downstream tasks has attracted significant interest in the Artificial Intelligence (AI) community. This is because it allows models to be aligned with human tastes. In order...

The practical application of robotic technology in automatic assembly processes holds immense value. However, traditional robotic systems have struggled to adapt to the demands of production environments characterized by high-mix, low-volume manufacturing. Robotic...

Embedding models are fundamental tools in natural language processing (NLP), providing the backbone for applications like information retrieval and retrieval-augmented generation. These models transform the text into a numerical format that machines can process, which...

In probabilistic programming, developers often face the challenge of efficiently composing and performing inference on intricate probabilistic programs. A recent release, Coix (COmbinators In jaX), has emerged as a flexible and backend-agnostic solution to address...

Computer vision has advanced significantly in recent decades, thanks in large part to comprehensive benchmark datasets like COCO. However, nearly a decade after its introduction, COCO’s suitability as a benchmark for modern AI models is being questioned. Its...